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Articles

A low complexity automatic white balance algorithm for AMOLED hardware driving using histogram shifting with compensation

, , , , &
Pages 152-159 | Received 29 Sep 2017, Accepted 11 Sep 2018, Published online: 19 Oct 2018
 

ABSTRACT

Automatic white balance (AWB) is one of the most important functions for display devices. As to active-matrix organic light-emitting diode (AMOLED) driving, it not only needs reasonable colour cast correcting results, but also require high power efficiency. In the existing techniques, the power constraint is achieved resource-costly, and has not been applied in AWB algorithms. This article proposes an AWB algorithm combined with simple power constraint method and excellent colour cast correcting ability. Without the part of computing coefficients in conventional AWB algorithms, and replacing most of multiplications with additions, the computational complexity of the proposed algorithm is reduced. The experimental results show that the proposed algorithm is competitive with that of state-of-the-art AWB algorithms and the value of power dissipation for the images processed by the proposed algorithm is 33.76%, 19.95% and 41.26% smaller than grey-world (GW), white-patch (WP) and colour histogram stretching (CHS) algorithm, respectively. The proposed algorithm can also be implemented in AMOLED driving owing to its low computational complexity.

AbbreviationPower Constraint(PD)

Additional information

Funding

This work was supported by the The National Key Research and Development Program of China under Grant [No. 2017YFA0206104]; Scientific Research Project of Shanghai Science and Technology Committee under Grant [No. 18511111302]; and Scientific Research Project of Shanghai Science and Technology Committee under Grant [No. 18511103502].

Notes on contributors

Huang Chen

Huang Chen, studying in Shanghai Advanced Research Institute during 2015-2018, working at the area of digital IC design.

Li Tian

Dr. Li Tian, working at the area of CMOS image sensor and circuit design.

Yongxin Zhu

Dr. Yongxin Zhu, working at the area of computer architecture, IC system design and big data processing.

Hui Wang

Dr. Hui Wang, working at the area of CMOS image sensor and circuit design.

Songlin Feng

Dr. Songlin Feng, working at the area of device, big data and cloud computing.

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